Overview

Brought to you by YData

Dataset statistics

Number of variables14
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.5 KiB
Average record size in memory112.5 B

Variable types

Numeric14

Alerts

bu is highly overall correlated with hemo and 1 other fieldsHigh correlation
hemo is highly overall correlated with bu and 2 other fieldsHigh correlation
pcv is highly overall correlated with hemo and 1 other fieldsHigh correlation
rbcc is highly overall correlated with hemo and 1 other fieldsHigh correlation
sc is highly overall correlated with buHigh correlation
al has 54 (21.6%) zeros Zeros
su has 145 (58.0%) zeros Zeros

Reproduction

Analysis started2025-07-18 11:42:33.720020
Analysis finished2025-07-18 11:42:55.134496
Duration21.41 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct70
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.443468
Minimum2
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:55.360936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14.45
Q148
median59
Q365
95-th percentile75
Maximum90
Range88
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.115776
Coefficient of variation (CV)0.31437704
Kurtosis1.3570694
Mean54.443468
Median Absolute Deviation (MAD)9
Skewness-1.1704609
Sum13610.867
Variance292.9498
MonotonicityNot monotonic
2025-07-18T19:42:55.462810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 15
 
6.0%
65 15
 
6.0%
48 9
 
3.6%
54 9
 
3.6%
50 9
 
3.6%
62 8
 
3.2%
59 8
 
3.2%
51.483376 8
 
3.2%
61 7
 
2.8%
45 7
 
2.8%
Other values (60) 155
62.0%
ValueCountFrequency (%)
2 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
5 2
0.8%
6 1
 
0.4%
7 1
 
0.4%
8 3
1.2%
11 1
 
0.4%
12 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
90 1
 
0.4%
83 1
 
0.4%
82 1
 
0.4%
81 1
 
0.4%
80 2
 
0.8%
78 1
 
0.4%
76 5
2.0%
75 3
1.2%
74 2
 
0.8%
73 6
2.4%

bp
Real number (ℝ)

Distinct11
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.498763
Minimum50
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:55.533824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile60
Q170
median80
Q390
95-th percentile100
Maximum180
Range130
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.937872
Coefficient of variation (CV)0.18790069
Kurtosis8.0281742
Mean79.498763
Median Absolute Deviation (MAD)10
Skewness1.5548208
Sum19874.691
Variance223.14002
MonotonicityNot monotonic
2025-07-18T19:42:55.661172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
70 74
29.6%
90 53
21.2%
80 51
20.4%
60 26
 
10.4%
100 25
 
10.0%
76.46907 10
 
4.0%
50 5
 
2.0%
110 3
 
1.2%
140 1
 
0.4%
180 1
 
0.4%
ValueCountFrequency (%)
50 5
 
2.0%
60 26
 
10.4%
70 74
29.6%
76.46907 10
 
4.0%
80 51
20.4%
90 53
21.2%
100 25
 
10.0%
110 3
 
1.2%
120 1
 
0.4%
140 1
 
0.4%
ValueCountFrequency (%)
180 1
 
0.4%
140 1
 
0.4%
120 1
 
0.4%
110 3
 
1.2%
100 25
 
10.0%
90 53
21.2%
80 51
20.4%
76.46907 10
 
4.0%
70 74
29.6%
60 26
 
10.4%

sg
Real number (ℝ)

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0145045
Minimum1.005
Maximum1.025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:55.849416image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.005
5-th percentile1.01
Q11.01
median1.015
Q31.0174079
95-th percentile1.02
Maximum1.025
Range0.02
Interquartile range (IQR)0.0074079

Descriptive statistics

Standard deviation0.004416627
Coefficient of variation (CV)0.0043534818
Kurtosis-0.2638112
Mean1.0145045
Median Absolute Deviation (MAD)0.005
Skewness0.24489547
Sum253.62613
Variance1.9506594 × 10-5
MonotonicityNot monotonic
2025-07-18T19:42:55.995278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.01 84
33.6%
1.015 75
30.0%
1.0174079 42
16.8%
1.02 31
 
12.4%
1.025 11
 
4.4%
1.005 7
 
2.8%
ValueCountFrequency (%)
1.005 7
 
2.8%
1.01 84
33.6%
1.015 75
30.0%
1.0174079 42
16.8%
1.02 31
 
12.4%
1.025 11
 
4.4%
ValueCountFrequency (%)
1.025 11
 
4.4%
1.02 31
 
12.4%
1.0174079 42
16.8%
1.015 75
30.0%
1.01 84
33.6%
1.005 7
 
2.8%

al
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6067797
Minimum0
Maximum5
Zeros54
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:56.163604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.0169492
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2815753
Coefficient of variation (CV)0.79760489
Kurtosis-0.81938494
Mean1.6067797
Median Absolute Deviation (MAD)0.9830508
Skewness0.47062543
Sum401.69492
Variance1.6424353
MonotonicityNot monotonic
2025-07-18T19:42:56.308338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 54
21.6%
1 44
17.6%
2 43
17.2%
3 43
17.2%
1.0169492 41
16.4%
4 24
9.6%
5 1
 
0.4%
ValueCountFrequency (%)
0 54
21.6%
1 44
17.6%
1.0169492 41
16.4%
2 43
17.2%
3 43
17.2%
4 24
9.6%
5 1
 
0.4%
ValueCountFrequency (%)
5 1
 
0.4%
4 24
9.6%
3 43
17.2%
2 43
17.2%
1.0169492 41
16.4%
1 44
17.6%
0 54
21.6%

su
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71122507
Minimum0
Maximum5
Zeros145
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:56.442139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.45014244
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0.45014244

Descriptive statistics

Standard deviation1.2295808
Coefficient of variation (CV)1.7288209
Kurtosis2.3757468
Mean0.71122507
Median Absolute Deviation (MAD)0
Skewness1.8573098
Sum177.80627
Variance1.5118689
MonotonicityNot monotonic
2025-07-18T19:42:56.536435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 145
58.0%
0.45014244 44
 
17.6%
2 18
 
7.2%
3 14
 
5.6%
4 13
 
5.2%
1 13
 
5.2%
5 3
 
1.2%
ValueCountFrequency (%)
0 145
58.0%
0.45014244 44
 
17.6%
1 13
 
5.2%
2 18
 
7.2%
3 14
 
5.6%
4 13
 
5.2%
5 3
 
1.2%
ValueCountFrequency (%)
5 3
 
1.2%
4 13
 
5.2%
3 14
 
5.6%
2 18
 
7.2%
1 13
 
5.2%
0.45014244 44
 
17.6%
0 145
58.0%

bgr
Real number (ℝ)

Distinct136
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.25755
Minimum22
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:56.712012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile84.9
Q1111.25
median148.03651
Q3210
95-th percentile356.4
Maximum490
Range468
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation85.335639
Coefficient of variation (CV)0.49828833
Kurtosis2.4617847
Mean171.25755
Median Absolute Deviation (MAD)42.53651
Skewness1.5621174
Sum42814.387
Variance7282.1713
MonotonicityNot monotonic
2025-07-18T19:42:56.861843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.03651 38
 
15.2%
93 5
 
2.0%
92 4
 
1.6%
99 4
 
1.6%
107 4
 
1.6%
103 3
 
1.2%
214 3
 
1.2%
172 3
 
1.2%
104 3
 
1.2%
76 3
 
1.2%
Other values (126) 180
72.0%
ValueCountFrequency (%)
22 1
 
0.4%
70 2
0.8%
74 2
0.8%
76 3
1.2%
78 2
0.8%
79 1
 
0.4%
80 1
 
0.4%
84 1
 
0.4%
86 1
 
0.4%
88 1
 
0.4%
ValueCountFrequency (%)
490 2
0.8%
463 1
0.4%
447 1
0.4%
425 1
0.4%
424 2
0.8%
423 1
0.4%
415 1
0.4%
410 1
0.4%
380 1
0.4%
360 2
0.8%

bu
Real number (ℝ)

High correlation 

Distinct118
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.610937
Minimum1.5
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:56.971619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile18.45
Q132
median55
Q389.75
95-th percentile183.3
Maximum391
Range389.5
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation57.134411
Coefficient of variation (CV)0.79784476
Kurtosis6.0373674
Mean71.610937
Median Absolute Deviation (MAD)25.5
Skewness2.0951284
Sum17902.734
Variance3264.341
MonotonicityNot monotonic
2025-07-18T19:42:57.143268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.42572 13
 
5.2%
19 6
 
2.4%
40 6
 
2.4%
46 5
 
2.0%
53 5
 
2.0%
66 5
 
2.0%
32 5
 
2.0%
20 5
 
2.0%
55 5
 
2.0%
28 5
 
2.0%
Other values (108) 190
76.0%
ValueCountFrequency (%)
1.5 1
 
0.4%
15 4
1.6%
16 3
1.2%
17 2
 
0.8%
18 3
1.2%
19 6
2.4%
20 5
2.0%
21 1
 
0.4%
22 2
 
0.8%
23 3
1.2%
ValueCountFrequency (%)
391 1
0.4%
322 1
0.4%
309 1
0.4%
241 1
0.4%
235 1
0.4%
223 1
0.4%
219 1
0.4%
217 1
0.4%
215 1
0.4%
208 1
0.4%

sc
Real number (ℝ)

High correlation 

Distinct84
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3504778
Minimum0.5
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:57.316401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.8
Q11.5
median2.45
Q34.25
95-th percentile13.455
Maximum76
Range75.5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation6.7868252
Coefficient of variation (CV)1.5600183
Kurtosis57.028713
Mean4.3504778
Median Absolute Deviation (MAD)1.15
Skewness6.4379674
Sum1087.6195
Variance46.060996
MonotonicityNot monotonic
2025-07-18T19:42:57.472687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0724542 12
 
4.8%
1.2 10
 
4.0%
2.2 10
 
4.0%
1 9
 
3.6%
1.5 9
 
3.6%
1.7 9
 
3.6%
1.3 8
 
3.2%
1.6 8
 
3.2%
1.4 7
 
2.8%
2.5 7
 
2.8%
Other values (74) 161
64.4%
ValueCountFrequency (%)
0.5 1
 
0.4%
0.6 3
 
1.2%
0.7 4
 
1.6%
0.8 6
2.4%
0.9 6
2.4%
1 9
3.6%
1.1 6
2.4%
1.2 10
4.0%
1.3 8
3.2%
1.4 7
2.8%
ValueCountFrequency (%)
76 1
0.4%
48.1 1
0.4%
32 1
0.4%
24 1
0.4%
18.1 1
0.4%
18 1
0.4%
16.9 1
0.4%
16.4 1
0.4%
15.2 1
0.4%
15 1
0.4%

sod
Real number (ℝ)

Distinct33
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.09143
Minimum4.5
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:57.590476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile124
Q1134
median137.52875
Q3137.52875
95-th percentile142
Maximum163
Range158.5
Interquartile range (IQR)3.52875

Descriptive statistics

Standard deviation10.299631
Coefficient of variation (CV)0.076241925
Kurtosis104.49287
Mean135.09143
Median Absolute Deviation (MAD)1.52875
Skewness-8.5418153
Sum33772.857
Variance106.08239
MonotonicityNot monotonic
2025-07-18T19:42:57.693142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
137.52875 82
32.8%
135 16
 
6.4%
138 14
 
5.6%
136 14
 
5.6%
137 12
 
4.8%
140 12
 
4.8%
141 11
 
4.4%
139 10
 
4.0%
132 10
 
4.0%
131 9
 
3.6%
Other values (23) 60
24.0%
ValueCountFrequency (%)
4.5 1
 
0.4%
104 1
 
0.4%
111 1
 
0.4%
113 2
0.8%
114 2
0.8%
115 1
 
0.4%
120 2
0.8%
122 2
0.8%
124 3
1.2%
125 2
0.8%
ValueCountFrequency (%)
163 1
 
0.4%
147 1
 
0.4%
146 2
 
0.8%
145 2
 
0.8%
143 1
 
0.4%
142 8
3.2%
141 11
4.4%
140 12
4.8%
139 10
4.0%
138 14
5.6%

pot
Real number (ℝ)

Distinct41
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7950448
Minimum2.5
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:57.842946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.345
Q14.1
median4.6272435
Q34.6272435
95-th percentile5.8
Maximum47
Range44.5
Interquartile range (IQR)0.5272435

Descriptive statistics

Standard deviation3.5305215
Coefficient of variation (CV)0.7362854
Kurtosis117.23616
Mean4.7950448
Median Absolute Deviation (MAD)0.3272435
Skewness10.589433
Sum1198.7612
Variance12.464582
MonotonicityNot monotonic
2025-07-18T19:42:58.032095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4.6272435 83
33.2%
4 11
 
4.4%
4.2 11
 
4.4%
4.9 10
 
4.0%
3.8 10
 
4.0%
4.4 9
 
3.6%
4.3 9
 
3.6%
4.1 9
 
3.6%
4.7 7
 
2.8%
3.7 6
 
2.4%
Other values (31) 85
34.0%
ValueCountFrequency (%)
2.5 2
 
0.8%
2.7 1
 
0.4%
2.8 1
 
0.4%
2.9 3
1.2%
3 2
 
0.8%
3.2 3
1.2%
3.3 1
 
0.4%
3.4 5
2.0%
3.5 6
2.4%
3.6 2
 
0.8%
ValueCountFrequency (%)
47 1
 
0.4%
39 1
 
0.4%
7.6 1
 
0.4%
6.6 1
 
0.4%
6.5 2
0.8%
6.4 1
 
0.4%
6.3 3
1.2%
5.9 2
0.8%
5.8 2
0.8%
5.7 4
1.6%

hemo
Real number (ℝ)

High correlation 

Distinct84
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.993264
Minimum3.1
Maximum16.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:58.156805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile7.19
Q19.8
median11.3
Q312.526437
95-th percentile13.855
Maximum16.1
Range13
Interquartile range (IQR)2.726437

Descriptive statistics

Standard deviation2.1040973
Coefficient of variation (CV)0.19139877
Kurtosis0.69580201
Mean10.993264
Median Absolute Deviation (MAD)1.226437
Skewness-0.66427027
Sum2748.3161
Variance4.4272254
MonotonicityNot monotonic
2025-07-18T19:42:58.260080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.526437 46
 
18.4%
10.9 8
 
3.2%
11.1 7
 
2.8%
9.8 7
 
2.8%
12 6
 
2.4%
11.3 6
 
2.4%
10.3 6
 
2.4%
12.6 5
 
2.0%
9.7 5
 
2.0%
10 5
 
2.0%
Other values (74) 149
59.6%
ValueCountFrequency (%)
3.1 1
0.4%
4.8 1
0.4%
5.5 1
0.4%
5.6 1
0.4%
5.8 1
0.4%
6 2
0.8%
6.1 1
0.4%
6.2 1
0.4%
6.3 1
0.4%
6.6 1
0.4%
ValueCountFrequency (%)
16.1 1
 
0.4%
15.6 1
 
0.4%
15.4 1
 
0.4%
15.2 1
 
0.4%
15 4
1.6%
14.3 2
0.8%
14.1 1
 
0.4%
14 1
 
0.4%
13.9 1
 
0.4%
13.8 1
 
0.4%

pcv
Real number (ℝ)

High correlation 

Distinct38
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.533046
Minimum9
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:58.464322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile22.45
Q130
median36
Q338.8845
95-th percentile43
Maximum52
Range43
Interquartile range (IQR)8.8845

Descriptive statistics

Standard deviation6.7041539
Coefficient of variation (CV)0.19413735
Kurtosis1.0404918
Mean34.533046
Median Absolute Deviation (MAD)3
Skewness-0.71892093
Sum8633.2615
Variance44.94568
MonotonicityNot monotonic
2025-07-18T19:42:58.625034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
38.8845 67
26.8%
28 12
 
4.8%
32 12
 
4.8%
36 12
 
4.8%
33 12
 
4.8%
34 11
 
4.4%
37 11
 
4.4%
30 9
 
3.6%
29 9
 
3.6%
35 9
 
3.6%
Other values (28) 86
34.4%
ValueCountFrequency (%)
9 1
 
0.4%
14 1
 
0.4%
15 1
 
0.4%
16 1
 
0.4%
17 1
 
0.4%
18 1
 
0.4%
19 2
0.8%
20 1
 
0.4%
21 1
 
0.4%
22 3
1.2%
ValueCountFrequency (%)
52 3
 
1.2%
48 1
 
0.4%
47 1
 
0.4%
46 1
 
0.4%
45 1
 
0.4%
44 5
2.0%
43 2
 
0.8%
42 4
1.6%
41 6
2.4%
40 8
3.2%

wbcc
Real number (ℝ)

Distinct82
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8806.8243
Minimum2200
Maximum26400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:58.752490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2200
5-th percentile4945
Q17900
median8406.122
Q39575
95-th percentile13420
Maximum26400
Range24200
Interquartile range (IQR)1675

Descriptive statistics

Standard deviation2797.9749
Coefficient of variation (CV)0.31770531
Kurtosis8.6809843
Mean8806.8243
Median Absolute Deviation (MAD)793.878
Skewness1.9745987
Sum2201706.1
Variance7828663.5
MonotonicityNot monotonic
2025-07-18T19:42:58.992993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8406.122 99
39.6%
9800 9
 
3.6%
6900 6
 
2.4%
9600 6
 
2.4%
9200 5
 
2.0%
10200 4
 
1.6%
5000 3
 
1.2%
5800 3
 
1.2%
7000 3
 
1.2%
7900 3
 
1.2%
Other values (72) 109
43.6%
ValueCountFrequency (%)
2200 1
 
0.4%
2600 1
 
0.4%
3800 2
0.8%
4100 1
 
0.4%
4200 3
1.2%
4300 2
0.8%
4500 1
 
0.4%
4700 1
 
0.4%
4900 1
 
0.4%
5000 3
1.2%
ValueCountFrequency (%)
26400 1
0.4%
21600 1
0.4%
19100 1
0.4%
18900 1
0.4%
16700 1
0.4%
16300 1
0.4%
15700 1
0.4%
15200 2
0.8%
14900 1
0.4%
14600 2
0.8%

rbcc
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3232878
Minimum2.1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2025-07-18T19:42:59.195537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.9
Q13.9
median4.707435
Q34.707435
95-th percentile4.955
Maximum8
Range5.9
Interquartile range (IQR)0.807435

Descriptive statistics

Standard deviation0.72227559
Coefficient of variation (CV)0.16706628
Kurtosis3.0016
Mean4.3232878
Median Absolute Deviation (MAD)0.007435
Skewness-0.43454996
Sum1080.8219
Variance0.52168203
MonotonicityNot monotonic
2025-07-18T19:42:59.423490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4.707435 124
49.6%
3.9 10
 
4.0%
3.4 9
 
3.6%
3.7 8
 
3.2%
3.8 7
 
2.8%
4.2 6
 
2.4%
4.3 6
 
2.4%
4.6 6
 
2.4%
4 6
 
2.4%
4.1 5
 
2.0%
Other values (26) 63
25.2%
ValueCountFrequency (%)
2.1 2
0.8%
2.3 1
 
0.4%
2.4 1
 
0.4%
2.5 2
0.8%
2.6 2
0.8%
2.7 2
0.8%
2.8 2
0.8%
2.9 2
0.8%
3 3
1.2%
3.1 2
0.8%
ValueCountFrequency (%)
8 1
 
0.4%
6.1 1
 
0.4%
6 1
 
0.4%
5.6 1
 
0.4%
5.4 1
 
0.4%
5.2 5
 
2.0%
5 3
 
1.2%
4.9 3
 
1.2%
4.8 2
 
0.8%
4.707435 124
49.6%

Interactions

2025-07-18T19:42:52.976348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.415633image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.591099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.719309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.908619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:39.671774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.336135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.968131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.274762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.162207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.513980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.197058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.747803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.826367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.061998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.619359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.668926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.876597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.982535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:39.819450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.463476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.148901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.331955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.289360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.580710image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.297041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.871032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.899624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.175682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.686055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.734136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.931837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.046720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:39.973372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.602656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.213719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.401833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.464145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.668586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.367934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.928030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.978096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.245279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.752640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.833026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.036323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.121866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.121832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.684010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.308738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.467705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.630597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.809627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.600608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.034806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.076471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.336258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.835922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.909174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.122199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.196140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.216937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.789582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.405797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.528478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.836030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.928308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.709394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.098980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.162031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.411667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.919040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.975263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.185690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.282022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.266993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.895331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.486605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.604805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.981616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.068080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.798146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.161184image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.237518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.476874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:34.983603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.040591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.264834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.351425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.366155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.997142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.543433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.660869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:46.137524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.197002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.916162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.234061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.312170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.623276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.083639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.123707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.349864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.501356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.533893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.103818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.646900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.715120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:46.260103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.304324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.057959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.312698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.383284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.725055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.148448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.202106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.416615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.598576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.628005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.269192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.765562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.789774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:46.414775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.429905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.247274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.377750image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.457544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.825134image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.249440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.284355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.504412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.665326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.755403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.410205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:43.901805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.848412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:46.538133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.561131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.327880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.462715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.545594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:53.907074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.320840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.368467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.584810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.738732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.856046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.497190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.026683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.901630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:46.647301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.699701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.412802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.512522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.665245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:54.010998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.387913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.467732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.649941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:38.882267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:40.959572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.635226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.098588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.965038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.163397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.835490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.480130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.578985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.764430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:54.092889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.452539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.555833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.734825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:39.029679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.072563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.699547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.148763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.027532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.243327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:48.952166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.552185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.682690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.827045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:54.173093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:35.502513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:36.635629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:37.806629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:39.547201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:41.201377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:42.799615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:44.201713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:45.086089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:47.386927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:49.067338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:50.659925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:51.750536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-07-18T19:42:52.914167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-07-18T19:42:59.540191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
agealbgrbpbuhemopcvpotrbccscsgsodsuwbcc
age1.0000.0010.1550.0590.160-0.004-0.0680.150-0.0920.155-0.003-0.0300.2450.082
al0.0011.0000.098-0.0030.322-0.290-0.2110.103-0.1970.273-0.019-0.2790.1270.052
bgr0.1550.0981.0000.0790.0050.0190.0410.0150.0280.006-0.108-0.0760.4990.092
bp0.059-0.0030.0791.0000.132-0.117-0.0920.106-0.0870.1580.0010.0750.113-0.030
bu0.1600.3220.0050.1321.000-0.516-0.4620.243-0.3740.823-0.027-0.3240.126-0.003
hemo-0.004-0.2900.019-0.117-0.5161.0000.829-0.1310.523-0.4230.0500.2290.0080.085
pcv-0.068-0.2110.041-0.092-0.4620.8291.000-0.1170.608-0.3900.1360.2410.019-0.012
pot0.1500.1030.0150.1060.243-0.131-0.1171.000-0.0320.1970.056-0.0040.041-0.162
rbcc-0.092-0.1970.028-0.087-0.3740.5230.608-0.0321.000-0.3420.1480.186-0.003-0.032
sc0.1550.2730.0060.1580.823-0.423-0.3900.197-0.3421.000-0.043-0.2660.157-0.024
sg-0.003-0.019-0.1080.001-0.0270.0500.1360.0560.148-0.0431.0000.0980.043-0.139
sod-0.030-0.279-0.0760.075-0.3240.2290.241-0.0040.186-0.2660.0981.000-0.018-0.000
su0.2450.1270.4990.1130.1260.0080.0190.041-0.0030.1570.043-0.0181.0000.146
wbcc0.0820.0520.092-0.030-0.0030.085-0.012-0.162-0.032-0.024-0.139-0.0000.1461.000

Missing values

2025-07-18T19:42:54.341896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-18T19:42:54.943902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

agebpsgalsubgrbuscsodpothemopcvwbccrbcc
048.080.000001.0201.00.0121.0000036.01.2137.528754.62724315.444.07800.0005.200000
17.050.000001.0204.00.0148.0365118.00.8137.528754.62724311.338.06000.0004.707435
262.080.000001.0102.03.0423.0000053.01.8137.528754.6272439.631.07500.0004.707435
348.070.000001.0054.00.0117.0000056.03.8111.000002.50000011.232.06700.0003.900000
451.080.000001.0102.00.0106.0000026.01.4137.528754.62724311.635.07300.0004.600000
560.090.000001.0153.00.074.0000025.01.1142.000003.20000012.239.07800.0004.400000
668.070.000001.0100.00.0100.0000054.024.0104.000004.00000012.436.08406.1224.707435
724.076.469071.0152.04.0410.0000031.01.1137.528754.62724312.444.06900.0005.000000
852.0100.000001.0153.00.0138.0000060.01.9137.528754.62724310.833.09600.0004.000000
953.090.000001.0202.00.070.00000107.07.2114.000003.7000009.529.012100.0003.700000
agebpsgalsubgrbuscsodpothemopcvwbccrbcc
24065.070.01.0150001.0000000.000000203.046.01.4137.528754.62724311.40000036.00005000.0004.100000
24157.070.01.0150001.0000000.000000165.045.01.5140.000003.30000010.40000031.00004200.0003.900000
24269.070.01.0100004.0000003.000000214.096.06.3120.000003.9000009.40000028.000011500.0003.300000
24362.090.01.0200002.0000001.000000169.048.02.4138.000002.90000013.40000047.000011000.0006.100000
24464.090.01.0150003.0000002.000000463.064.02.8135.000004.10000012.20000040.00009800.0004.600000
24548.0100.01.0174081.0169490.450142103.079.05.3135.000006.3000006.30000019.00007200.0002.600000
24648.0110.01.0150003.0000000.000000106.0215.015.2120.000005.7000008.60000026.00005000.0002.500000
24754.090.01.0250001.0000000.000000150.018.01.2140.000004.20000012.52643738.88458406.1224.707435
24859.070.01.0100001.0000003.000000424.055.01.7138.000004.50000012.60000037.000010200.0004.100000
24956.090.01.0100004.0000001.000000176.0309.013.3124.000006.5000003.1000009.00005400.0002.100000